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Software bug report dataset from Eclipse projects

delete2025-09-01
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OA
AI
N
Noelia Lopez-Duran *
D
David Romero-Organvídez
F
Fermín L. Cruz
D
David Benavides
DOI：10.1016/j.dib.2025.112016delete
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Abstract

Abstract

En 中文
In recent decades, the analysis of data from software projects - including source control systems, defect tracking systems, and code review repositories - has greatly improved our understanding of software development and its evolution. However, obtaining this information can be time-consuming, and the extracted data is not always well-maintained. This paper introduces an extensive dataset generated from Bugzilla repositories, focusing on key products from the Eclipse bug-tracking system. This dataset addresses the need for up-todate data in existing repositories, preserving crucial historical information that may be lost due to the transition from Bugzilla to newer bug-tracking systems like Jira or GitHub Issues. Our dataset includes 301,378 bug reports along with all related information, organised into different folders that indicate the project in which the bug was filed. Additionally, we present a custom and lightweight Command Line Interface (CLI) tool designed to efficiently extract detailed information from Bugzilla repositories, automating data collection across various Bugzilla instances. The dataset and tool can be utilized for defect prediction, software maintenance, and evo lutionary analysis. To the best of our knowledge, this is the largest, most complete, and up-to-date dataset of Eclipse bug reports available. (c) 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords:
Bug report
Bug extraction
Software
Mining software repository
Bug report extraction tool
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1.4
Papers:
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